Ghosts of the past: Elemental composition, biosynthesis reactions and thermodynamic properties of Zeta P.2, Eta B.1.525, Theta P.3, Kappa B.1.617.1, Iota B.1.526, Lambda C.37 and Mu B.1.621 variants of SARS-CoV-2

IF 3 4区环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES

Microbial Risk Analysis Pub Date : 2023-08-01 DOI:10.1016/j.mran.2023.100263

Marko Popovic , Marijana Pantović Pavlović , Miroslav Pavlović

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引用次数: 4

Abstract

From the perspectives of molecular biology, genetics and biothermodynamics, SARS-CoV-2 is the among the best characterized viruses. Research on SARS-CoV-2 has shed a new light onto driving forces and molecular mechanisms of viral evolution. This paper reports results on empirical formulas, biosynthesis reactions and thermodynamic properties of biosynthesis (multiplication) for the Zeta P.2, Eta B.1.525, Theta P.3, Kappa B.1.617.1, Iota B.1.526, Lambda C.37 and Mu B.1.621 variants of SARS-CoV-2. Thermodynamic analysis has shown that the physical driving forces for evolution of SARS-CoV-2 are Gibbs energy of biosynthesis and Gibbs energy of binding. The driving forces have led SARS-CoV-2 through the evolution process from the original Hu-1 to the newest variants in accordance with the expectations of the evolution theory.

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过去的幽灵:Zeta P.2、Eta B.1.525、Theta P.3、Kappa B.1.617.1、Iota B.1.526、Lambda C.37和Mu B.1.621变体SARS-CoV-2的元素组成、生物合成反应和热力学性质

从分子生物学、遗传学和生物热力学的角度来看，SARS-CoV-2是最具特征的病毒之一。对SARS-CoV-2的研究为病毒进化的驱动力和分子机制提供了新的思路。本文报道了SARS-CoV-2的Zeta P.2、Eta B.1.525、Theta P.3、Kappa B.1.617.1、Iota B.1.526、Lambda C.37和Mu B.1.621变异体的经验公式、生物合成反应和生物合成(增殖)热力学性质的结果。热力学分析表明，SARS-CoV-2进化的物理驱动力是吉布斯生物合成能和吉布斯结合能。这些驱动力按照进化理论的预期，引导新冠病毒从最初的Hu-1型进化到最新的变体。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Microbial Risk Analysis Medicine-Microbiology (medical)

CiteScore

5.70

自引率

7.10%

发文量

审稿时长

52 days

期刊介绍： The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.